Lead Data Scientist

US New York

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Farfetch
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FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.
DATA
We're a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight. We're a diverse, global team who create Data solutions to provide an unrivalled customer experience. Whether it's churning gigabytes of ecommerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we use data to promote FARFETCH's growth.
NEW YORK
Our New York office is located in Midtown near the iconic Bryant Park and the historic Grand Central Terminal, New York's best connected office neighborhood. The beautifully designed office has 360 views and tall windows to bring the outside in. We have a communal kitchen that brings the team together for Family Lunch and Happy Hours. The office is open plan with plenty of rooms and booths to take a private call, have time to relax and work in private or have a large collaborative meeting.
THE ROLE
Farfetch relies heavily on insights gained from data to drive customer acquisition and retention and on metrics to detect new areas of improvement. As a Lead Data Scientist, you'll contribute to the engineering of the next-generation data science products and interfaces that connect our Machine Learning technology to the vast ecosystem of internal and external applications. This is a really exciting time to join the business and have the chance to be a part of a growing function and work exclusively on large-scale, high-impact projects.

WHAT YOU'LL DO

  • You will Work with large datasets to solve challenging problems using advanced statistical and Machine Learning techniques.
  • You will Prototype and productionize Machine Learning pipelines to provide a solution to large commercial impact problems that keep Farfetch ahead of the competition.
  • You will Collaborate with other Scientists and Engineers to build efficient data products. Identify opportunities for, design, and assess improvements to Farfetch products.
  • You will Research and develop forecasting and recommendation systems to improve the quality of key services powering our Private Client function, leveraging computer vision, ranking, predictive modeling, and live experiments.
  • You will Lead and manage more junior Data Scientists, aiding their growth and developing them to the next level.
  • You will Act as an ambassador for the Farfetch Data team, supporting recruitment efforts and promoting our Brilliant working environment.

WHO YOU ARE

  • You have At least 6 years of experience in an advanced Engineering and Data Science role.
  • You have Extensive experience building Machine Learning and Deep Learning models on large datasets.
  • You are Fluent in Python and object-oriented programming. Experience developing production software is a bonus.
  • You have Experience in Computer Vision and Recommendation Systems is a bonus.
  • You are a strong communicator and enjoy collaborative teamwork.

REWARDS & BENEFITS

  • FARFETCH Equity plan and annual discretionary bonus
  • Medical, dental, vision, with flexible spending account
  • 401K plus company match, PTO and volunteer days
  • Wellness, and cell phone reimbursements
  • Family Lunch, catered weekly when in office

EQUAL OPPORTUNITIES STATEMENT

  • FARFETCH is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. We continue to build our consciously inclusive culture as part of our Positively FARFETCH strategy throughout our business, partnerships and communities.
FarFetch is looking for a Lead Data Scientist!
Job region(s): North America
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